Hazan Hananel, Ziv Noam E
Faculty of Medicine, Technion, Haifa, Israel.
Network Biology Research Laboratories, Lorry Lokey Center for Life Sciences and Engineering, Technion, Haifa, Israel.
Front Neurosci. 2017 Oct 18;11:579. doi: 10.3389/fnins.2017.00579. eCollection 2017.
There is growing need for multichannel electrophysiological systems that record from and interact with neuronal systems in near real-time. Such systems are needed, for example, for closed loop, multichannel electrophysiological/optogenetic experimentation and in a variety of other neuronal preparations, or for developing and testing neuro-prosthetic devices, to name a few. Furthermore, there is a need for such systems to be inexpensive, reliable, user friendly, easy to set-up, open and expandable, and possess long life cycles in face of rapidly changing computing environments. Finally, they should provide powerful, yet reasonably easy to implement facilities for developing closed-loop protocols for interacting with neuronal systems. Here, we survey commercial and open source systems that address these needs to varying degrees. We then present our own solution, which we refer to as Closed Loop Experiments Manager (CLEM). CLEM is an open source, soft real-time, Microsoft Windows desktop application that is based on a single generic personal computer (PC) and an inexpensive, general-purpose data acquisition board. CLEM provides a fully functional, user-friendly graphical interface, possesses facilities for recording, presenting and logging electrophysiological data from up to 64 analog channels, and facilities for controlling external devices, such as stimulators, through digital and analog interfaces. Importantly, it includes facilities for running closed-loop protocols written in any programming language that can generate dynamic link libraries (DLLs). We describe the application, its architecture and facilities. We then demonstrate, using networks of cortical neurons growing on multielectrode arrays (MEA) that despite its reliance on generic hardware, its performance is appropriate for flexible, closed-loop experimentation at the neuronal network level.
对能够近乎实时地记录神经元系统并与之交互的多通道电生理系统的需求日益增长。例如,在闭环多通道电生理/光遗传学实验以及各种其他神经元制备中,或者在开发和测试神经假体装置等方面,都需要这样的系统。此外,还需要这样的系统价格低廉、可靠、用户友好、易于设置、开放且可扩展,并且在快速变化的计算环境中具有较长的生命周期。最后,它们应该提供强大但又相对易于实现的设施,用于开发与神经元系统交互的闭环协议。在这里,我们调查了在不同程度上满足这些需求的商业和开源系统。然后我们展示我们自己的解决方案,我们称之为闭环实验管理器(CLEM)。CLEM是一个基于单个通用个人计算机(PC)和一个廉价的通用数据采集板的开源软实时Microsoft Windows桌面应用程序。CLEM提供了一个功能齐全、用户友好的图形界面,具备从多达64个模拟通道记录、呈现和记录电生理数据的设施,以及通过数字和模拟接口控制外部设备(如刺激器)的设施。重要的是,它包括运行用任何能够生成动态链接库(DLL)的编程语言编写的闭环协议的设施。我们描述了该应用程序、其架构和设施。然后我们使用在多电极阵列(MEA)上生长的皮质神经元网络进行演示,表明尽管它依赖通用硬件,但其性能适用于在神经元网络层面进行灵活的闭环实验。